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2007
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On Anonymization of String Data

8 years 5 months ago
On Anonymization of String Data
String data is especially important in the privacy preserving data mining domain because most DNA and biological data is coded as strings. In this paper, we will discuss a new method for privacy preserving mining of string data with the use of simple template based condensation models. The template based model turns out to be effective in practice, and preserves important statistical characteristics of the strings.
Charu C. Aggarwal, Philip S. Yu
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2007
Where SDM
Authors Charu C. Aggarwal, Philip S. Yu
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